| { | |
| "best_global_step": 800, | |
| "best_metric": 1.1622345447540283, | |
| "best_model_checkpoint": "Qwen-3-0.6B-it-Medical-LoRA/checkpoint-800", | |
| "epoch": 1.8131370328425822, | |
| "eval_steps": 100, | |
| "global_step": 800, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.11325028312570781, | |
| "grad_norm": 0.3080866038799286, | |
| "learning_rate": 0.00019075425790754258, | |
| "loss": 1.8711, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.22650056625141562, | |
| "grad_norm": 0.28974413871765137, | |
| "learning_rate": 0.0001664233576642336, | |
| "loss": 1.338, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.22650056625141562, | |
| "eval_loss": 1.3033037185668945, | |
| "eval_runtime": 217.1489, | |
| "eval_samples_per_second": 7.225, | |
| "eval_steps_per_second": 0.907, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.33975084937712347, | |
| "grad_norm": 0.3371483385562897, | |
| "learning_rate": 0.0001420924574209246, | |
| "loss": 1.2923, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.45300113250283125, | |
| "grad_norm": 0.35730767250061035, | |
| "learning_rate": 0.00011776155717761557, | |
| "loss": 1.2703, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.45300113250283125, | |
| "eval_loss": 1.2490053176879883, | |
| "eval_runtime": 217.4793, | |
| "eval_samples_per_second": 7.214, | |
| "eval_steps_per_second": 0.906, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.5662514156285391, | |
| "grad_norm": 0.35110780596733093, | |
| "learning_rate": 9.343065693430657e-05, | |
| "loss": 1.2397, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.6795016987542469, | |
| "grad_norm": 0.35077276825904846, | |
| "learning_rate": 6.909975669099758e-05, | |
| "loss": 1.232, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.6795016987542469, | |
| "eval_loss": 1.2211977243423462, | |
| "eval_runtime": 217.5364, | |
| "eval_samples_per_second": 7.213, | |
| "eval_steps_per_second": 0.906, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.7927519818799547, | |
| "grad_norm": 0.3939191699028015, | |
| "learning_rate": 4.476885644768857e-05, | |
| "loss": 1.2241, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.9060022650056625, | |
| "grad_norm": 0.366871178150177, | |
| "learning_rate": 2.0437956204379563e-05, | |
| "loss": 1.2078, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.9060022650056625, | |
| "eval_loss": 1.2062289714813232, | |
| "eval_runtime": 217.4838, | |
| "eval_samples_per_second": 7.214, | |
| "eval_steps_per_second": 0.906, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 1.0203850509626273, | |
| "grad_norm": 0.3808969259262085, | |
| "learning_rate": 0.00010164319248826291, | |
| "loss": 1.1819, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 1.1336353340883352, | |
| "grad_norm": 0.43216949701309204, | |
| "learning_rate": 8.990610328638498e-05, | |
| "loss": 1.19, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.1336353340883352, | |
| "eval_loss": 1.1994948387145996, | |
| "eval_runtime": 217.3626, | |
| "eval_samples_per_second": 7.218, | |
| "eval_steps_per_second": 0.906, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.246885617214043, | |
| "grad_norm": 0.4280295968055725, | |
| "learning_rate": 7.816901408450704e-05, | |
| "loss": 1.1971, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 1.3601359003397508, | |
| "grad_norm": 0.4056779146194458, | |
| "learning_rate": 6.643192488262912e-05, | |
| "loss": 1.1771, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.3601359003397508, | |
| "eval_loss": 1.1834282875061035, | |
| "eval_runtime": 217.4514, | |
| "eval_samples_per_second": 7.215, | |
| "eval_steps_per_second": 0.906, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.4733861834654587, | |
| "grad_norm": 0.4397243857383728, | |
| "learning_rate": 5.469483568075118e-05, | |
| "loss": 1.1544, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.5866364665911665, | |
| "grad_norm": 0.4214654862880707, | |
| "learning_rate": 4.295774647887324e-05, | |
| "loss": 1.1789, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.5866364665911665, | |
| "eval_loss": 1.1712530851364136, | |
| "eval_runtime": 217.6023, | |
| "eval_samples_per_second": 7.21, | |
| "eval_steps_per_second": 0.905, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.6998867497168741, | |
| "grad_norm": 0.43076109886169434, | |
| "learning_rate": 3.1220657276995305e-05, | |
| "loss": 1.1522, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 1.8131370328425822, | |
| "grad_norm": 0.4253358244895935, | |
| "learning_rate": 1.9483568075117372e-05, | |
| "loss": 1.1508, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.8131370328425822, | |
| "eval_loss": 1.1622345447540283, | |
| "eval_runtime": 217.3951, | |
| "eval_samples_per_second": 7.217, | |
| "eval_steps_per_second": 0.906, | |
| "step": 800 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 882, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 100, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 4.054929702912e+16, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |